Lean Sigma A Practitioner's Guide
Lean Sigma A Practitioner's Guide
- ISBN 13:
9780132390781
- ISBN 10:
0132390787
- Edition: 1st
- Format: Hardcover
- Copyright: 10/10/2006
- Publisher: Prentice Hall
- Newer Edition
Rent
Sorry, this item is currently unavailable on Knetbooks.com
Click the link below to purchase this eBook from our trusted partner, eCampus.com.
Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
Extend or Purchase Your Rental at Any Time
Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.
Summary
The Practical, Easy-to-Use Guide to Lean Sigma Problem-Solving Lean Sigma delivers results-ifyou use the right tools and techniques. InLean Sigma: A Practitionerrs"s Guide,Dr. Ian Wedgwood captures best-practice Lean Sigma experience from multiple projects and industries, helping any professional identify the solution that will work best-and implement it. Wedgwoodrs"s exclusive "project roadmaps" present the fastest, most effective route to solving a wide range of problems-and explainwhythose solutions make sense. His "discovery roadmaps" help you identify potential Lean Sigma projects, even in processes where there are no obvious targets. The heart ofLean Sigmais Wedgwood's 48 individual "tools roadmaps": step-by-step instructions revealing exactly how and when to use all these Lean Sigma tools... bull; 5 Whys bull; 5S bull; Affinity bull; ANOVA bull; Boxplots bull; Capability tools bull; Cause & effect matrices bull; Chi-Square bull; Control charts bull; Critical path analyses bull; Customer tools bull; Demand tools bull; DOE tools bull; Fishbone diagrams bull; Handoff maps bull; KPOVs bull; Load charts bull; MSA tools bull; Multi-Cycle analyses bull; Multi-Vari studies bull; Murphyrs"s analyses bull; Normality tests bull; OEE bull; Pareto charts bull; Poka Yoke bull; Process FMEA bull; Process variables (I/O) maps bull; Project charter bull; Pull systems & Kanban bull; Rapid changeover bull; Regression